Machine Learning Engineer II developing machine learning models for Dandy's dental innovation platform. Collaborating with global teams to enhance 3D computer vision capabilities and automate manufacturing processes.
Responsibilities
Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks.
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers
Requirements
2+ years of experience in Machine Learning, or new PhD graduate
Experience in Python
Experience with either PyTorch or Tensorflow
Have immaculate attention to detail and take pride in delivering excellent code and results
Masters or PhD in related field
Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus
Experience with 3D geometric Computer Vision is a plus
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